code: def rfecv_credit_example(image="rfecv_credit.png"):
      X, y = load_credit()
  
      _, ax = plt.subplots()
      cv = StratifiedKFold(5)
      oz = RFECV(
          RandomForestClassifier(), ax=ax, cv=cv, scoring="f1_weighted"
      )
      oz.fit(X, y)
      oz.show(outpath=os.path.join(IMAGES, image))
  
file_path: yellowbrick/docs/api/model_selection/rfecv.py
imports: import os
  import matplotlib.pyplot
  from sklearn.svm import SVC
  from sklearn.datasets import make_classification
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.model_selection import StratifiedKFold
  from yellowbrick.model_selection import RFECV, rfecv
  from yellowbrick.datasets import load_credit
label_desc: Use image node_id 2 for calling a global function with example usage: rfecv_credit_example(image) without return types